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Tier-1 brand, mid-level AI/ML role in metro with broad Azure/LLM skillset increases candidate competition.
Core ML skills are transferable, but strong Azure and Microsoft integration increases domain-specific hiring sensitivity.
Explicit 3-7 years, mandatory Azure AI certification, and specific Azure/LLM/.NET tech stack raise strictness.
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Design, develop, and deploy AI/ML models on Azure App Services and Azure Kubernetes Service (AKS) using frameworks such as Lang-Chain, Semantic Kernel, and PyTorch.
Develop, maintain, and integrate applications with Microsoft .NET framework, Microsoft Teams, and Graph API, including prompt engineering and tuning of Large Language Models.
Implement CI/CD pipelines with Azure DevOps, manage data storage with Azure Blob Storage, and perform data preprocessing and feature engineering for structured and unstructured data.
3-7 years of relevant AI/ML development experience.
Degree required: BTech/BE/MTech from a reputed institution/university.
Mandatory skills include proficiency in Python, TypeScript, or C#; experience with AI frameworks (Lang-Chain, Semantic Kernel, PyTorch, Scikit-learn); and Azure AI services (Cognitive Services, Azure Machine Learning, Azure Bot Services).
Certification required: AI-900 (Azure AI Fundamentals); DP-100 (Azure Data Scientist Associate) preferred.
Experienced in end-to-end cloud-based AI/ML solution development and deployment on Azure, including managing data pipelines and storage.
Skilled in applying NLP, Large Language Models, Vectorization, and Prompt Engineering techniques within AI frameworks and Azure services.
Capable of integrating AI applications with Microsoft technologies such as Teams and Graph API, demonstrating operational knowledge of both AI development and enterprise application integration.